deepboof.impl.backward.standard

Class DSpatialWindowImage<T extends deepboof.Tensor<T>,P extends DSpatialPadding2D<T>>

java.lang.Object

deepboof.impl.forward.standard.BaseFunction<T>

deepboof.impl.forward.standard.BaseSpatialWindow<T,P>

deepboof.impl.forward.standard.SpatialWindowImage<T,P>

deepboof.impl.backward.standard.DSpatialWindowImage<T,P>

All Implemented Interfaces:

deepboof.DFunction<T>, deepboof.Function<T>

Direct Known Subclasses:

DSpatialConvolve2D_F64

public abstract class DSpatialWindowImage<T extends deepboof.Tensor<T>,P extends DSpatialPadding2D<T>>
extends deepboof.impl.forward.standard.SpatialWindowImage<T,P>
implements deepboof.DFunction<T>

Backwards functions for operations which convolve a window across the input spatial tensor. Each image in a mini batch is processed one at a time.

Field Summary

Fields

Modifier and Type	Field and Description
protected T	dpadding
protected boolean	learningMode

Fields inherited from class deepboof.impl.forward.standard.SpatialWindowImage

output

Fields inherited from class deepboof.impl.forward.standard.BaseSpatialWindow

C, config, H, HH, Ho, Hp, N, padding, W, Wo, Wp, WW

Fields inherited from class deepboof.impl.forward.standard.BaseFunction

miniBatchSize, parameters, shapeInput, shapeOutput, shapeParameters

Constructor Summary

Constructors

Constructor and Description
DSpatialWindowImage(deepboof.forward.ConfigSpatial config, P padding)

Method Summary

Modifier and Type	Method and Description
protected abstract void	_backwards(T input, T dout, T gradientInput, java.util.List<T> gradientParameters)
void	backwards(T input, T dout, T gradientInput, java.util.List<T> gradientParameters)
protected abstract void	backwardsAt_border(P padded, int batch, int padY, int padX, int outY, int outX) Applies the operations at the specified window and stores the results at the specified output coordinate.
protected abstract void	backwardsAt_inner(T input, int batch, int inY, int inX, int outY, int outX) Applies the operations at the specified window and stores the results at the specified output coordinate.
protected void	backwardsImage(T input, T gradientInput)
void	evaluating()
java.lang.Class<T>	getTensorType()
boolean	isLearning()
void	learning()

Methods inherited from class deepboof.impl.forward.standard.SpatialWindowImage

forwardAt_border, forwardAt_inner, forwardImage

Methods inherited from class deepboof.impl.forward.standard.BaseSpatialWindow

_initialize, getPadding, innerLowerExtent, innerUpperExtent, isEntirelyBorder

Methods inherited from class deepboof.impl.forward.standard.BaseFunction

_forward, _setParameters, forward, getOutputShape, getParameters, getParameterShapes, initialize, setParameters

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface deepboof.Function

forward, getOutputShape, getParameters, getParameterShapes, initialize, setParameters

Field Detail

learningMode

protected boolean learningMode

dpadding

protected T extends deepboof.Tensor<T> dpadding

Constructor Detail

DSpatialWindowImage

public DSpatialWindowImage(deepboof.forward.ConfigSpatial config,
                           P padding)

Method Detail

backwards

public void backwards(T input,
                      T dout,
                      T gradientInput,
                      java.util.List<T> gradientParameters)

Specified by:

backwards in interface deepboof.DFunction<T extends deepboof.Tensor<T>>

_backwards

protected abstract void _backwards(T input,
                                   T dout,
                                   T gradientInput,
                                   java.util.List<T> gradientParameters)

backwardsImage

protected void backwardsImage(T input,
                              T gradientInput)

backwardsAt_inner

protected abstract void backwardsAt_inner(T input,
                                          int batch,
                                          int inY,
                                          int inX,
                                          int outY,
                                          int outX)

Applies the operations at the specified window and stores the results at the specified output coordinate.

Parameters:

input - Input spatial tensor

batch - Index of input in mini-batch that is being processed

inY - y-axis lower extent, in input coordinates

inX - x-axis lower extent, in input coordinates

outY - y-axis output coordinates

outX - x-axis output coordinates

backwardsAt_border

protected abstract void backwardsAt_border(P padded,
                                           int batch,
                                           int padY,
                                           int padX,
                                           int outY,
                                           int outX)

Applies the operations at the specified window and stores the results at the specified output coordinate. For virtual tensor

Parameters:

padded - Padded input spatial virtual tensor

batch - Index of input in mini-batch that is being processed

padY - y-axis lower extent, inclusive. Padded coordinates

padX - x-axis lower extent, inclusive. Padded coordinates

outY - y-axis output coordinates

outX - x-axis output coordinates

learning

public void learning()

Specified by:

learning in interface deepboof.DFunction<T extends deepboof.Tensor<T>>

evaluating

public void evaluating()

Specified by:

evaluating in interface deepboof.DFunction<T extends deepboof.Tensor<T>>

isLearning

public boolean isLearning()

Specified by:

isLearning in interface deepboof.DFunction<T extends deepboof.Tensor<T>>

getTensorType

public java.lang.Class<T> getTensorType()

Specified by:

getTensorType in interface deepboof.Function<T extends deepboof.Tensor<T>>